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What’s the upshot?

Yair points us to this page, The Upshot, Five Years In, by the New York Times data journalism team, listing their “favorite, most-read or most distinct work since 2014.”

And some of these are based on our research:

There Are More White Voters Than People Think. That’s Good News for Trump. (Story by Nate Cohn. Research with Yair Ghitza)

We Gave Four Good Pollsters the Same Raw Data. They Had Four Different Results. (Story by Nate Cohn. Research with Sam Corbett-Davies and David Rothschild)

How Birth Year Influences Political Views (Story and visualization by Amanda Cox. Research with Yair Ghitza)

Big-time data journalism is a pretty new thing. Back when we were doing Red State Blue State, around 2004 and onward, we’d present some results on blogs, and we published a research article and a book, but it was hard to get these ideas out there in the news media, back in the day when Michael Barone was considered a quantitative political reporter and political scatterplots, line plots, and data maps were specialty fare.

P.S. Also included is How Arizona State Reinvented Free-Throw Distraction, featuring an analysis that I think is a noise-chasing mess. This one’s on their list of “The somewhat weird list: our most unconventional efforts to explain the world.” Unconventional, indeed. Unconventional and wrong, in this case. But, hey, we all make mistakes. I know I do.

One Comment

  1. Zad Chow says:

    “Big-time data journalism is a pretty new thing.”

    Seems the New York Times in particular has also made quite a name for itself using D3.js for many of its visualizations.

    Some of those can be found here: https://github.com/d3/d3/wiki/Gallery#the-new-york-times-visualizations

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